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DBMS > 4D vs. Atos Standard Common Repository vs. Graph Engine vs. Kdb

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Graph Engine vs. Kdb

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonKdb  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineHigh performance Time Series DBMS
Primary database modelRelational DBMSDocument store
Key-value store
Graph DBMS
Key-value store
Time Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.graphengine.iokx.com
Technical documentationdeveloper.4d.comwww.graphengine.io/­docs/­manualcode.kx.com
Developer4D, IncAtos Convergence CreatorsMicrosoftKx Systems, a division of First Derivatives plc
Initial release1984201620102000 infokdb was released 2000, kdb+ in 2003
Current releasev20, April 202317033.6, May 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT Licensecommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava.NET and Cq
Server operating systemsOS X
Windows
Linux.NETLinux
OS X
Solaris
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesyesnoyes
Secondary indexesyesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLyes infoclose to SQL 92nonoSQL-like query language (q)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPRESTful HTTP APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsC#
C++
F#
Visual Basic
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresyesnoyesuser defined functions
Triggersyesyesnoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionhorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlUsers and groupsLDAP bind authenticationrights management via user accounts
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryGraph Engine infoformer name: TrinityKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
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Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
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Licensing and pricing modelsupon request
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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryGraph Engine infoformer name: TrinityKdb
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